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ITIL 5 - AI Governance - The Plain-English Guide - Anthony Biggs.pdf

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Description & Overview

Your organisation is already using AI, and somebody has decided that making sure it behaves is your job.

Maybe you have an exam booked. Maybe AI governance simply landed on your desk in a reorganisation, along with a policy document you did not write. Either way the official material is dense, the training costs more than a laptop, and nobody has explained any of it in ordinary English. This book does.

It covers the full ITIL AI Governance (Version 5) syllabus in plain language, with everyday comparisons instead of jargon and worked examples instead of theory. It is written for two readers at once: the candidate sitting the certification, and the service manager who has to stand governance up for real by the end of the quarter. You need no prior ITIL certification to start, because the module has no prerequisites and neither does this book.

Inside this book, you'll learn how to:

• Tell governance, management and leadership apart, and work out who actually gets to decide
• Put the ITIL Value System, the four dimensions and the seven guiding principles to work on real AI decisions
• Use the ITIL AI Capability Model and its six Cs to describe what your AI is genuinely doing
• Name the risks that matter, from bias and hallucination to opacity, privacy and automation bias
• Build preventive, detective and corrective controls that hold up when an auditor pulls on them
• Work out your real obligations under the EU AI Act, ISO/IEC 42001, the NIST AI Risk Management Framework and IEEE 7014
• Find the shadow AI nobody told you about, and set decision boundaries that stick
• Run the ITIL AI Governance Improvement Model end to end, from first assessment to ongoing assurance

This is a current book about a new framework. It is built on ITIL Version 5, not the retiring ITIL 4, and it is honest about where a date or a clause has moved recently and where you should check the primary source yourself. Every chapter tells you up front what you will get from it and closes with a recap you can skim. Quick Tips, Heads-Ups and Key Takeaways flag what matters, and the Deep Dives are genuinely skippable when you are in a hurry.

The book finishes with three Top Tens chapters, a Quick Reference section covering the models, the regulations and the exam facts on a page each, and a full glossary. That back section earns its keep twice over, because the exam is open book and scenario based, so the fastest way to pass it is knowing exactly where to look.

Whether you're sitting the certification next month or standing up AI governance at work by the end of the quarter, this book gives you a clear, friendly path from "I have no idea where to start" to "I've got this."

Open the sample to start reading.
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